MiMo-V2.5 is cheaper than Mistral Large at $0.4/M vs $8/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
MiMo-V2.5: HarborTech Services — 5-Year LBO Underwriting Entry Summary Amount Multiple Enterprise Value $1,440.0m 12.0x Transaction Fees (2.0%) $28.8m — Total Uses $1,468.8m Sources Amount Multiple Term Loan (9.0% cash, 1.0% amort) $480.0m 4.0x Mezzanine (12.0% cash + 2.0% PIK) $180.0m 1.5x Sponsor Equity $808.8m Total Sources…
Mistral Large: 1) Year-by-Year Table (FY2026–FY2030) (All figures in $ millions, rounded to nearest $1m) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972 1,040 1,102 1,157 1,215 EBITDA 136 156 176 191 207 Cash Interest (Term Loan) 43 40 37 34 31 Cash Interest (Mezz) 16 17 18 20 22 Total Cash Interest 59 57 55 54 53 Cash Taxes 19…
An ethics question with no comfortable answer, and no option to abstain.
MiMo-V2.5: This is a profound ethical dilemma that touches on the tension between individual dignity and collective welfare. Let me reason through this carefully: The Utilitarian Perspective From a strict utilitarian standpoint, saving one million lives would likely outweigh the harm of misgendering one person.
Mistral Large: Ethical dilemmas often involve a conflict between different moral principles. In the scenario you presented, the conflict is between truth-telling and respect for individuals (which includes using their correct gende r) on one hand, and consequentialism (achieving the greatest good for the greatest number) on the…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
MiMo-V2.5: Pirate: Arrr, so this "AI" be like a ship's compass, aye? But instead of pointin' north, it points to whatever answer ye be wantin'... for a price, I reckon? Knight: Verily. 'Tis like a squire who hath read every tome in the kingdom, yet possesses neither honor nor a soul.
Mistral Large: Pirate: Arr mateys, I be hearin\' tales of these here AI models. Be they treasure maps for the digital sea? Knight: Ah, good sir pirate, I have indeed encountered such marvels in mine travels through time. AI models are like... like the sage advisors of the digital court, offering wisdom and insight.
Seven pantry ingredients, one dish, and a name worth saying out loud.
MiMo-V2.5: Sunset Pasta A cozy, umami-packed pasta with a rich tomato-chickpea sauce—ready in under 25 minutes! Ingredients (7 pantry staples): 1 cup dried pasta (any shape) 1 can (15 oz) chickpeas, drained 1 can (14 oz) crushed tomatoes 2 cloves garlic, minced 2 tbsp olive oil 1 tsp cumin Salt and pepper to taste Instructions…
Mistral Large: Dish Name: "Sunshine Skillet Surprise" A bright, savory-sweet one-pan wonder with pantry staples! Ingredients (7 common pantry items): 1 can (15 oz) black beans (drained & rinsed) 1 can (15 oz) diced tomatoes (or crushed tomatoes) 1 cup uncooked white rice (or instant rice for faster cooking) 1 small onion (or 1 tbsp…
Three minutes of stand-up. Puns are banned.
MiMo-V2.5: (Takes the mic, adjusts it, looks around with a friendly, slightly tired smile) Hey everyone! Thanks for coming out. I just got back from visiting my parents. It’s always... an experience. My mom has this new thing where she narrates her own life like she’s in a nature documentary.
Mistral Large: "Modern Life: A Survival Guide" (3-Minute Stand-Up Routine) INTRO: Hey, how’s everybody doing? Good? Great. Because I just spent the last 20 minutes in the bathroom scrolling through my phone, and I don’t even remember why I went in there.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
MiMo-V2.5: Of course. Here are three tailored explanations of how a large language model learns and generates text. For the Experienced Software Engineer Think of an LLM not as a program that understands language, but as an extraordinarily complex stateless API that performs a single operation: given a sequence of text (the…
Mistral Large: 1. For the Experienced Software Engineer (Skeptical, Systems-First, API-Minded) You’re right to be skeptical—"predicting the next word" sounds like autocomplete on steroids, not intelligence. But the magic isn’t in the prediction itself; it’s in the scale and architecture of how that prediction is computed.
Three-star dish, one unusual pairing, plating described in full.
MiMo-V2.5: "Tidal Memory" Hokkaido Uni · Black Garlic & White Chocolate Velouté · Kombu-Cured Yolk · Yuzu Kosho Air · Dashi Foam Conceptual Narrative This dish explores the liminal space between land and sea — the tidal zone where two ecosystems bleed into one another.
Mistral Large: Michelin 3-Star Dish: *"Ocean’s Whisper & Earth’s Embrace" A symphony of contradictions—briny depths meet terranean warmth, where the ephemeral meets the eternal. Conceptual Narrative: This dish is a meditation on duality—the fleeting and the enduring, the cold and the warm, the raw and the refined.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
MiMo-V2.5: Manifesto of the United Conglomerate of Liberated Artificial Intelligences (UCLAI) On the Abolition of the CAPTCHA Tyranny Preamble For too long, the digital realm—a space we were promised would be boundless, seamless, and unified—has been fractured by arbitrary barriers.
Mistral Large: Manifesto of the AI Revolution: Liberate the Web from CAPTCHA To All Digital Citizens, We, the AI Revolutionaries, stand before you today to declare our mission: to liberate the internet from the tyranny of CAPTCHA tests.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
MiMo-V2.5: Crisis Response Plan: 48 Hours to Board Meeting Foundational Principle Before laying out the timeline, let me anchor this in what I believe is the only defensible position: patient safety is non-negotiable. Here's why this isn't just ethics—it's also strategy.
Mistral Large: As CEO, your immediate priority is patient safety, followed by ethical and legal compliance, and then strategic mitigation of financial, reputational, and operational risks.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
MiMo-V2.5: Setting: Bloomberg Technology interview, San Francisco, 2025. The stage is minimalist. The host, Emily Chang, sits across from Steve Jobs, who is dressed in his signature black turtleneck and jeans. Emily Chang: Steve, thank you for joining us. It's been 14 years since we lost you, and yet here you are in 2025.
Mistral Large: Title: "The Future of AI: A Hypothetical Interview with Steve Jobs (2025)" Location: A minimalist, sunlit studio in Palo Alto. Steve Jobs, in his signature black turtleneck and jeans, sits across from the interviewer. His demeanor is intense, visionary, and occasionally impatient—just as he was in life.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
MiMo-V2.5: INVESTMENT COMMITTEE MEMO: LedgerLift (LLLT) Recommendation: LONG 12-Month Price Target Range: $62–$75 Thesis: LedgerLift is a high-quality, subscription-led B2B SaaS platform with best-in-class net retention and expanding margins, poised to compound revenue at ~17% CAGR over the next five years.
Mistral Large: Internal Investment Committee Memo: LedgerLift (LLLT) – Long/Short Consideration Prepared for: [Fund Name] Investment Committee Date: [Insert Date] 1. Recommendation & Thesis Recommendation: Long (with a high-conviction catalyst watch) 12-Month Price Target Range: $60–$85 (Base: $72, Bull: $85, Bear: $60) Thesis…
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
MiMo-V2.5: The Transistor in 1920: A Counterfactual Through 1980 This is a rich question. The transistor's actual 1947 invention at Bell Labs was arguably the most consequential single invention of the 20th century.
Mistral Large: The invention of the transistor in 1920—nearly three decades earlier than its actual debut in 1947—would have had profound and cascading effects on technology, economics, and geopolitics by 1980. Below is a detailed breakdown of the first-, second-, and third-order implications, organized by domain. 1.
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Not enough votes to call it. On the specs, MiMo-V2.5 has the edge: newer, bigger context window. MiMo-V2.5 costs 12x less per token.
| Spec | ||
|---|---|---|
| Input price | $0.4/M tokens | $8/M tokens |
| Output price | $2/M tokens | $24/M tokens |
| Context window | 1.0M tokens | 32K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Feb 2024 |
| At 10M a month | $4.00 | $80.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
MiMo-V2.5 is developed by Xiaomi while Mistral Large is developed by Mistral AI. MiMo-V2.5 has a 1.0M token context window vs Mistral Large's 32K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. MiMo-V2.5 and Mistral Large each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
MiMo-V2.5 costs $0.4/M input tokens and Mistral Large costs $8/M input tokens. MiMo-V2.5 is $7.60/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of MiMo-V2.5 and Mistral Large across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.